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    <title>ICLRBBN - Potential lncRNA-disease association prediction</title>

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            <h1 style="text-align: left;padding: 8px 0;line-height:97%; ">Welcome to ICLRBBN</h1>
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                ICLRBBN, a tool for accurate prediction of potential lncRNA-disease associations using internal confidence based local radial basis biological network.

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            <span style="font-family: 'Lato', sans-serif;font-size: inherit">Introduction</span>
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                <span class="highlight" >Long non-coding RNAs (lncRNAs)</span> are an important class of non-coding transcripts with the lengths longer than 200 nt. Specially,
                they are also critical regulators involved in various important biological processes such as cell proliferation, cell migration,
                cell apoptosis, transcription, translation, differentiation, cell cycle control and epigenetic regulation. Growing evidences have elucidated that
                the mutations and abnormalities of lncRNAs has an inseparable connection with many major diseases.
                It is obvious that developing effective computational models to identify potential lncRNA-disease associations can facilitate
                the discovery of new biomarkers and drug targets for disease diagnosis, prognosis and treatment.
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                <span class="highlight" >ICLRBBN</span> is a tool for potential lncRNA-disease association prediction which adopts internal confidence based radial basis biological network.
                ICLRBBN is based on lncRNA-disease association dataset from the LncRNADisease database (<a href="http://www.cuilab.cn/lncrnadisease" class="highlight" >http://www.cuilab.cn/lncrnadisease</a>).
                Currently, ICLRBBN contains <span class="highlight">314</span> diseases and <span class="highlight">828</span> lncRNAs.
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        <h2 style="color: #424242;font-family: 'Lato', sans-serif;">Publications</h2>
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                 Wang, Y., Li, H.,  Kuang, L., Chen, Z., Li, X., Zhang, Z., & Wang, L. (2020).
                 <br>
                 <span style="font-weight: 500;font-family: Segoe UI;">
                     ICLRBBN: A tool for accurate prediction of potential lncRNA-disease associations using internal confidence based local radial basis biological network.
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